{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제12_부정선거\research and politics\data\analysis_1.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 2 Jul 2024, 22:41:40

{com}. encode country, gen(country_1)

. reg subjective_class perceived_inequality income high_skilled low_skilled education age sex  marital religion urban political_orientation i.country_1  i.year i.country_1, cl( country_1 )

{txt}Linear regression                               Number of obs     = {res}    29,218
                                                {txt}{help j_robustsingular:F(11, 31) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2543
                                                {txt}Root MSE          =    {res} 1.4749

{txt}{ralign 87:(Std. Err. adjusted for {res:32} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     subjective_class{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}perceived_inequality {c |}{col 23}{res}{space 2}-.0727684{col 35}{space 2} .0217804{col 46}{space 1}   -3.34{col 55}{space 3}0.002{col 63}{space 4}-.1171898{col 76}{space 3} -.028347
{txt}{space 15}income {c |}{col 23}{res}{space 2} .2386419{col 35}{space 2} .0221414{col 46}{space 1}   10.78{col 55}{space 3}0.000{col 63}{space 4} .1934841{col 76}{space 3} .2837996
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2} .3502059{col 35}{space 2} .0390043{col 46}{space 1}    8.98{col 55}{space 3}0.000{col 63}{space 4} .2706561{col 76}{space 3} .4297556
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2}-.0080436{col 35}{space 2} .0274999{col 46}{space 1}   -0.29{col 55}{space 3}0.772{col 63}{space 4}-.0641301{col 76}{space 3} .0480428
{txt}{space 12}education {c |}{col 23}{res}{space 2} .2129558{col 35}{space 2}  .023676{col 46}{space 1}    8.99{col 55}{space 3}0.000{col 63}{space 4} .1646683{col 76}{space 3} .2612433
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0227487{col 35}{space 2} .0195141{col 46}{space 1}   -1.17{col 55}{space 3}0.253{col 63}{space 4} -.062548{col 76}{space 3} .0170505
{txt}{space 18}sex {c |}{col 23}{res}{space 2}  .014759{col 35}{space 2} .0415803{col 46}{space 1}    0.35{col 55}{space 3}0.725{col 63}{space 4}-.0700446{col 76}{space 3} .0995626
{txt}{space 14}marital {c |}{col 23}{res}{space 2} .2768305{col 35}{space 2} .0364577{col 46}{space 1}    7.59{col 55}{space 3}0.000{col 63}{space 4} .2024744{col 76}{space 3} .3511865
{txt}{space 13}religion {c |}{col 23}{res}{space 2} .0424862{col 35}{space 2} .0389693{col 46}{space 1}    1.09{col 55}{space 3}0.284{col 63}{space 4}-.0369922{col 76}{space 3} .1219647
{txt}{space 16}urban {c |}{col 23}{res}{space 2} .1048689{col 35}{space 2} .0313821{col 46}{space 1}    3.34{col 55}{space 3}0.002{col 63}{space 4} .0408646{col 76}{space 3} .1688731
{txt}political_orientation {c |}{col 23}{res}{space 2}-.1082356{col 35}{space 2} .0211135{col 46}{space 1}   -5.13{col 55}{space 3}0.000{col 63}{space 4}-.1512968{col 76}{space 3}-.0651743
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AT  {c |}{col 23}{res}{space 2} 1.159984{col 35}{space 2} .0238213{col 46}{space 1}   48.70{col 55}{space 3}0.000{col 63}{space 4}   1.1114{col 76}{space 3} 1.208568
{txt}{space 18}AU  {c |}{col 23}{res}{space 2} .6980808{col 35}{space 2} .0267036{col 46}{space 1}   26.14{col 55}{space 3}0.000{col 63}{space 4} .6436185{col 76}{space 3} .7525432
{txt}{space 18}BE  {c |}{col 23}{res}{space 2} .8996385{col 35}{space 2} .0321765{col 46}{space 1}   27.96{col 55}{space 3}0.000{col 63}{space 4} .8340141{col 76}{space 3}  .965263
{txt}{space 18}BG  {c |}{col 23}{res}{space 2}-.3211487{col 35}{space 2} .0262448{col 46}{space 1}  -12.24{col 55}{space 3}0.000{col 63}{space 4}-.3746752{col 76}{space 3}-.2676221
{txt}{space 18}CH  {c |}{col 23}{res}{space 2} .6148463{col 35}{space 2} .0887831{col 46}{space 1}    6.93{col 55}{space 3}0.000{col 63}{space 4}  .433772{col 76}{space 3} .7959206
{txt}{space 18}CL  {c |}{col 23}{res}{space 2}-.4364419{col 35}{space 2} .1183993{col 46}{space 1}   -3.69{col 55}{space 3}0.001{col 63}{space 4}-.6779189{col 76}{space 3}-.1949648
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2}  .372945{col 35}{space 2} .0752628{col 46}{space 1}    4.96{col 55}{space 3}0.000{col 63}{space 4} .2194454{col 76}{space 3} .5264446
{txt}{space 18}DE  {c |}{col 23}{res}{space 2} .7207644{col 35}{space 2} .0619015{col 46}{space 1}   11.64{col 55}{space 3}0.000{col 63}{space 4} .5945154{col 76}{space 3} .8470134
{txt}{space 18}DK  {c |}{col 23}{res}{space 2} .5700728{col 35}{space 2} .0508022{col 46}{space 1}   11.22{col 55}{space 3}0.000{col 63}{space 4}  .466461{col 76}{space 3} .6736846
{txt}{space 18}EE  {c |}{col 23}{res}{space 2} .3855229{col 35}{space 2} .0251018{col 46}{space 1}   15.36{col 55}{space 3}0.000{col 63}{space 4} .3343275{col 76}{space 3} .4367184
{txt}{space 18}ES  {c |}{col 23}{res}{space 2} .2932552{col 35}{space 2} .0185213{col 46}{space 1}   15.83{col 55}{space 3}0.000{col 63}{space 4} .2554809{col 76}{space 3} .3310296
{txt}{space 18}FI  {c |}{col 23}{res}{space 2}  1.23736{col 35}{space 2} .0673424{col 46}{space 1}   18.37{col 55}{space 3}0.000{col 63}{space 4} 1.100014{col 76}{space 3} 1.374706
{txt}{space 18}FR  {c |}{col 23}{res}{space 2} .0699694{col 35}{space 2} .0256929{col 46}{space 1}    2.72{col 55}{space 3}0.011{col 63}{space 4} .0175684{col 76}{space 3} .1223703
{txt}{space 18}GB  {c |}{col 23}{res}{space 2} .4420586{col 35}{space 2} .0231313{col 46}{space 1}   19.11{col 55}{space 3}0.000{col 63}{space 4}  .394882{col 76}{space 3} .4892352
{txt}{space 18}HR  {c |}{col 23}{res}{space 2} -.086935{col 35}{space 2} .0512018{col 46}{space 1}   -1.70{col 55}{space 3}0.100{col 63}{space 4}-.1913617{col 76}{space 3} .0174916
{txt}{space 18}IL  {c |}{col 23}{res}{space 2} .7815765{col 35}{space 2} .1217015{col 46}{space 1}    6.42{col 55}{space 3}0.000{col 63}{space 4} .5333647{col 76}{space 3} 1.029788
{txt}{space 18}IS  {c |}{col 23}{res}{space 2} .6918529{col 35}{space 2}  .118833{col 46}{space 1}    5.82{col 55}{space 3}0.000{col 63}{space 4} .4494915{col 76}{space 3} .9342143
{txt}{space 18}IT  {c |}{col 23}{res}{space 2}-.1114852{col 35}{space 2} .0471477{col 46}{space 1}   -2.36{col 55}{space 3}0.024{col 63}{space 4}-.2076436{col 76}{space 3}-.0153268
{txt}{space 18}JP  {c |}{col 23}{res}{space 2}-.3902236{col 35}{space 2} .0707844{col 46}{space 1}   -5.51{col 55}{space 3}0.000{col 63}{space 4}-.5345895{col 76}{space 3}-.2458578
{txt}{space 18}KR  {c |}{col 23}{res}{space 2}-.5838335{col 35}{space 2} .0402508{col 46}{space 1}  -14.50{col 55}{space 3}0.000{col 63}{space 4}-.6659256{col 76}{space 3}-.5017414
{txt}{space 18}LT  {c |}{col 23}{res}{space 2}-.3358832{col 35}{space 2} .0761796{col 46}{space 1}   -4.41{col 55}{space 3}0.000{col 63}{space 4}-.4912525{col 76}{space 3} -.180514
{txt}{space 18}LV  {c |}{col 23}{res}{space 2}-.5847115{col 35}{space 2} .0209414{col 46}{space 1}  -27.92{col 55}{space 3}0.000{col 63}{space 4}-.6274217{col 76}{space 3}-.5420012
{txt}{space 18}NO  {c |}{col 23}{res}{space 2}   .93717{col 35}{space 2} .0283102{col 46}{space 1}   33.10{col 55}{space 3}0.000{col 63}{space 4}  .879431{col 76}{space 3}  .994909
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2} .9785519{col 35}{space 2} .0683071{col 46}{space 1}   14.33{col 55}{space 3}0.000{col 63}{space 4} .8392386{col 76}{space 3} 1.117865
{txt}{space 18}PH  {c |}{col 23}{res}{space 2}-.3467148{col 35}{space 2} .0210396{col 46}{space 1}  -16.48{col 55}{space 3}0.000{col 63}{space 4}-.3896253{col 76}{space 3}-.3038043
{txt}{space 18}PL  {c |}{col 23}{res}{space 2} .2696653{col 35}{space 2} .0229482{col 46}{space 1}   11.75{col 55}{space 3}0.000{col 63}{space 4} .2228621{col 76}{space 3} .3164686
{txt}{space 18}SE  {c |}{col 23}{res}{space 2} 1.009577{col 35}{space 2} .0172743{col 46}{space 1}   58.44{col 55}{space 3}0.000{col 63}{space 4} .9743454{col 76}{space 3} 1.044808
{txt}{space 18}SI  {c |}{col 23}{res}{space 2} .1128929{col 35}{space 2} .0639318{col 46}{space 1}    1.77{col 55}{space 3}0.087{col 63}{space 4}-.0174968{col 76}{space 3} .2432827
{txt}{space 18}SK  {c |}{col 23}{res}{space 2} .1047226{col 35}{space 2} .0193102{col 46}{space 1}    5.42{col 55}{space 3}0.000{col 63}{space 4} .0653393{col 76}{space 3}  .144106
{txt}{space 18}US  {c |}{col 23}{res}{space 2} .5962299{col 35}{space 2} .0504335{col 46}{space 1}   11.82{col 55}{space 3}0.000{col 63}{space 4}   .49337{col 76}{space 3} .6990897
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2}-.0358528{col 35}{space 2} .0248431{col 46}{space 1}   -1.44{col 55}{space 3}0.159{col 63}{space 4}-.0865206{col 76}{space 3} .0148151
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2019  {c |}{col 23}{res}{space 2} .1666919{col 35}{space 2}  .123429{col 46}{space 1}    1.35{col 55}{space 3}0.187{col 63}{space 4}-.0850432{col 76}{space 3}  .418427
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} 3.673949{col 35}{space 2} .2451507{col 46}{space 1}   14.99{col 55}{space 3}0.000{col 63}{space 4} 3.173961{col 76}{space 3} 4.173937
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. 
. 
. margins, at(perceived_inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    29,218
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  5.73234{col 26}{space 2} .0687635{col 37}{space 1}   83.36{col 46}{space 3}0.000{col 54}{space 4} 5.592096{col 67}{space 3} 5.872585
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 5.659572{col 26}{space 2} .0469831{col 37}{space 1}  120.46{col 46}{space 3}0.000{col 54}{space 4} 5.563749{col 67}{space 3} 5.755395
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 5.586804{col 26}{space 2} .0252027{col 37}{space 1}  221.67{col 46}{space 3}0.000{col 54}{space 4} 5.535402{col 67}{space 3} 5.638205
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.514035{col 26}{space 2} .0034223{col 37}{space 1} 1611.19{col 46}{space 3}0.000{col 54}{space 4} 5.507055{col 67}{space 3} 5.521015
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 5.441267{col 26}{space 2} .0183581{col 37}{space 1}  296.40{col 46}{space 3}0.000{col 54}{space 4} 5.403825{col 67}{space 3} 5.478708
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, horizontal recast(scatter)

{text}{p 2 6 2}Variables that uniquely identify margins: perceived_inequality{p_end}
{res}
{com}. logit high_class perceived_inequality income high_skilled low_skilled education age sex  marital religion urban political_orientation i.country_1  i.year  , nolog cl(country_1)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    29,218
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(11)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-8872.5077{txt}{col 49}Pseudo R2{col 67}= {res}    0.1233

{txt}{ralign 87:(Std. Err. adjusted for {res:32} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           high_class{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}perceived_inequality {c |}{col 23}{res}{space 2}-.0962331{col 35}{space 2}   .03868{col 46}{space 1}   -2.49{col 55}{space 3}0.013{col 63}{space 4}-.1720445{col 76}{space 3}-.0204217
{txt}{space 15}income {c |}{col 23}{res}{space 2}   .25817{col 35}{space 2} .0383221{col 46}{space 1}    6.74{col 55}{space 3}0.000{col 63}{space 4}   .18306{col 76}{space 3}   .33328
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2} .3379143{col 35}{space 2} .0710975{col 46}{space 1}    4.75{col 55}{space 3}0.000{col 63}{space 4} .1985658{col 76}{space 3} .4772628
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2} .0327543{col 35}{space 2} .0633181{col 46}{space 1}    0.52{col 55}{space 3}0.605{col 63}{space 4}-.0913468{col 76}{space 3} .1568555
{txt}{space 12}education {c |}{col 23}{res}{space 2} .2722104{col 35}{space 2} .0333757{col 46}{space 1}    8.16{col 55}{space 3}0.000{col 63}{space 4} .2067952{col 76}{space 3} .3376257
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0477313{col 35}{space 2}  .028713{col 46}{space 1}    1.66{col 55}{space 3}0.096{col 63}{space 4}-.0085452{col 76}{space 3} .1040078
{txt}{space 18}sex {c |}{col 23}{res}{space 2} -.072372{col 35}{space 2} .0623922{col 46}{space 1}   -1.16{col 55}{space 3}0.246{col 63}{space 4}-.1946584{col 76}{space 3} .0499144
{txt}{space 14}marital {c |}{col 23}{res}{space 2} .1970169{col 35}{space 2} .0474417{col 46}{space 1}    4.15{col 55}{space 3}0.000{col 63}{space 4} .1040328{col 76}{space 3} .2900009
{txt}{space 13}religion {c |}{col 23}{res}{space 2}-.0170443{col 35}{space 2} .0538754{col 46}{space 1}   -0.32{col 55}{space 3}0.752{col 63}{space 4}-.1226382{col 76}{space 3} .0885496
{txt}{space 16}urban {c |}{col 23}{res}{space 2} .1266208{col 35}{space 2} .0316687{col 46}{space 1}    4.00{col 55}{space 3}0.000{col 63}{space 4} .0645512{col 76}{space 3} .1886903
{txt}political_orientation {c |}{col 23}{res}{space 2}-.1680484{col 35}{space 2}  .025486{col 46}{space 1}   -6.59{col 55}{space 3}0.000{col 63}{space 4}    -.218{col 76}{space 3}-.1180969
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AT  {c |}{col 23}{res}{space 2} .9150427{col 35}{space 2} .0336931{col 46}{space 1}   27.16{col 55}{space 3}0.000{col 63}{space 4} .8490054{col 76}{space 3}   .98108
{txt}{space 18}AU  {c |}{col 23}{res}{space 2} .4518592{col 35}{space 2} .0369784{col 46}{space 1}   12.22{col 55}{space 3}0.000{col 63}{space 4} .3793828{col 76}{space 3} .5243356
{txt}{space 18}BE  {c |}{col 23}{res}{space 2} .7548106{col 35}{space 2} .0501192{col 46}{space 1}   15.06{col 55}{space 3}0.000{col 63}{space 4} .6565787{col 76}{space 3} .8530424
{txt}{space 18}BG  {c |}{col 23}{res}{space 2} .3255984{col 35}{space 2} .0325743{col 46}{space 1}   10.00{col 55}{space 3}0.000{col 63}{space 4}  .261754{col 76}{space 3} .3894429
{txt}{space 18}CH  {c |}{col 23}{res}{space 2} .4326614{col 35}{space 2} .1415546{col 46}{space 1}    3.06{col 55}{space 3}0.002{col 63}{space 4} .1552194{col 76}{space 3} .7101033
{txt}{space 18}CL  {c |}{col 23}{res}{space 2}-.8610103{col 35}{space 2} .1585371{col 46}{space 1}   -5.43{col 55}{space 3}0.000{col 63}{space 4}-1.171737{col 76}{space 3}-.5502832
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2} .2454602{col 35}{space 2} .1069059{col 46}{space 1}    2.30{col 55}{space 3}0.022{col 63}{space 4} .0359285{col 76}{space 3} .4549919
{txt}{space 18}DE  {c |}{col 23}{res}{space 2} .5484393{col 35}{space 2}  .108547{col 46}{space 1}    5.05{col 55}{space 3}0.000{col 63}{space 4}  .335691{col 76}{space 3} .7611876
{txt}{space 18}DK  {c |}{col 23}{res}{space 2} .5034564{col 35}{space 2} .0881459{col 46}{space 1}    5.71{col 55}{space 3}0.000{col 63}{space 4} .3306936{col 76}{space 3} .6762192
{txt}{space 18}EE  {c |}{col 23}{res}{space 2} .5568376{col 35}{space 2}  .041203{col 46}{space 1}   13.51{col 55}{space 3}0.000{col 63}{space 4} .4760812{col 76}{space 3}  .637594
{txt}{space 18}ES  {c |}{col 23}{res}{space 2}-.5533003{col 35}{space 2} .0302944{col 46}{space 1}  -18.26{col 55}{space 3}0.000{col 63}{space 4}-.6126763{col 76}{space 3}-.4939244
{txt}{space 18}FI  {c |}{col 23}{res}{space 2} 1.744996{col 35}{space 2} .1055526{col 46}{space 1}   16.53{col 55}{space 3}0.000{col 63}{space 4} 1.538117{col 76}{space 3} 1.951876
{txt}{space 18}FR  {c |}{col 23}{res}{space 2}-.1356581{col 35}{space 2} .0326363{col 46}{space 1}   -4.16{col 55}{space 3}0.000{col 63}{space 4}-.1996241{col 76}{space 3}-.0716921
{txt}{space 18}GB  {c |}{col 23}{res}{space 2} .4086427{col 35}{space 2} .0306858{col 46}{space 1}   13.32{col 55}{space 3}0.000{col 63}{space 4} .3484997{col 76}{space 3} .4687857
{txt}{space 18}HR  {c |}{col 23}{res}{space 2}-.0231136{col 35}{space 2} .0919323{col 46}{space 1}   -0.25{col 55}{space 3}0.801{col 63}{space 4}-.2032976{col 76}{space 3} .1570704
{txt}{space 18}IL  {c |}{col 23}{res}{space 2} .7754275{col 35}{space 2} .1588931{col 46}{space 1}    4.88{col 55}{space 3}0.000{col 63}{space 4} .4640027{col 76}{space 3} 1.086852
{txt}{space 18}IS  {c |}{col 23}{res}{space 2} .5232929{col 35}{space 2} .1506064{col 46}{space 1}    3.47{col 55}{space 3}0.001{col 63}{space 4} .2281099{col 76}{space 3}  .818476
{txt}{space 18}IT  {c |}{col 23}{res}{space 2}-.7575901{col 35}{space 2} .0869699{col 46}{space 1}   -8.71{col 55}{space 3}0.000{col 63}{space 4}-.9280479{col 76}{space 3}-.5871323
{txt}{space 18}JP  {c |}{col 23}{res}{space 2}-1.074254{col 35}{space 2} .1112717{col 46}{space 1}   -9.65{col 55}{space 3}0.000{col 63}{space 4}-1.292343{col 76}{space 3}-.8561654
{txt}{space 18}KR  {c |}{col 23}{res}{space 2}-1.133464{col 35}{space 2} .0615903{col 46}{space 1}  -18.40{col 55}{space 3}0.000{col 63}{space 4}-1.254179{col 76}{space 3} -1.01275
{txt}{space 18}LT  {c |}{col 23}{res}{space 2}-.3146125{col 35}{space 2} .1150827{col 46}{space 1}   -2.73{col 55}{space 3}0.006{col 63}{space 4}-.5401703{col 76}{space 3}-.0890546
{txt}{space 18}LV  {c |}{col 23}{res}{space 2}-.1935705{col 35}{space 2} .0392673{col 46}{space 1}   -4.93{col 55}{space 3}0.000{col 63}{space 4} -.270533{col 76}{space 3} -.116608
{txt}{space 18}NO  {c |}{col 23}{res}{space 2} .7447171{col 35}{space 2} .0554131{col 46}{space 1}   13.44{col 55}{space 3}0.000{col 63}{space 4} .6361094{col 76}{space 3} .8533248
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2}  .947326{col 35}{space 2} .0944366{col 46}{space 1}   10.03{col 55}{space 3}0.000{col 63}{space 4} .7622337{col 76}{space 3} 1.132418
{txt}{space 18}PH  {c |}{col 23}{res}{space 2}-.1384367{col 35}{space 2} .0395163{col 46}{space 1}   -3.50{col 55}{space 3}0.000{col 63}{space 4}-.2158872{col 76}{space 3}-.0609863
{txt}{space 18}PL  {c |}{col 23}{res}{space 2} .0160365{col 35}{space 2} .0328145{col 46}{space 1}    0.49{col 55}{space 3}0.625{col 63}{space 4}-.0482788{col 76}{space 3} .0803517
{txt}{space 18}SE  {c |}{col 23}{res}{space 2} .7961899{col 35}{space 2}  .031561{col 46}{space 1}   25.23{col 55}{space 3}0.000{col 63}{space 4} .7343314{col 76}{space 3} .8580484
{txt}{space 18}SI  {c |}{col 23}{res}{space 2}-.3205462{col 35}{space 2} .1016826{col 46}{space 1}   -3.15{col 55}{space 3}0.002{col 63}{space 4}-.5198405{col 76}{space 3}-.1212519
{txt}{space 18}SK  {c |}{col 23}{res}{space 2}-.2141781{col 35}{space 2} .0264516{col 46}{space 1}   -8.10{col 55}{space 3}0.000{col 63}{space 4}-.2660223{col 76}{space 3}-.1623339
{txt}{space 18}US  {c |}{col 23}{res}{space 2} .4381215{col 35}{space 2} .0465371{col 46}{space 1}    9.41{col 55}{space 3}0.000{col 63}{space 4} .3469104{col 76}{space 3} .5293326
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2} .6669907{col 35}{space 2} .0409729{col 46}{space 1}   16.28{col 55}{space 3}0.000{col 63}{space 4} .5866853{col 76}{space 3}  .747296
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2019  {c |}{col 23}{res}{space 2} .2413089{col 35}{space 2} .1735568{col 46}{space 1}    1.39{col 55}{space 3}0.164{col 63}{space 4}-.0988562{col 76}{space 3}  .581474
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-4.408258{col 35}{space 2} .2905988{col 46}{space 1}  -15.17{col 55}{space 3}0.000{col 63}{space 4}-4.977821{col 76}{space 3}-3.838695
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. margins, at(perceived_inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    29,218
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(high_class), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1034066{col 26}{space 2} .0118605{col 37}{space 1}    8.72{col 46}{space 3}0.000{col 54}{space 4} .0801604{col 67}{space 3} .1266527
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0948188{col 26}{space 2} .0077408{col 37}{space 1}   12.25{col 46}{space 3}0.000{col 54}{space 4} .0796472{col 67}{space 3} .1099905
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0868752{col 26}{space 2} .0042685{col 37}{space 1}   20.35{col 46}{space 3}0.000{col 54}{space 4} .0785091{col 67}{space 3} .0952412
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0795385{col 26}{space 2} .0018649{col 37}{space 1}   42.65{col 46}{space 3}0.000{col 54}{space 4} .0758835{col 67}{space 3} .0831936
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0727721{col 26}{space 2} .0025199{col 37}{space 1}   28.88{col 46}{space 3}0.000{col 54}{space 4} .0678332{col 67}{space 3}  .077711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, horizontal recast(scatter)

{text}{p 2 6 2}Variables that uniquely identify margins: perceived_inequality{p_end}
{res}
{com}. 
. 
. logit low_class perceived_inequality income high_skilled low_skilled education age sex  marital religion urban political_orientation i.country_1  i.year  , nolog cl(country_1)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    29,218
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(11)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-9253.2632{txt}{col 49}Pseudo R2{col 67}= {res}    0.1643

{txt}{ralign 87:(Std. Err. adjusted for {res:32} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            low_class{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}perceived_inequality {c |}{col 23}{res}{space 2} .0568545{col 35}{space 2} .0281398{col 46}{space 1}    2.02{col 55}{space 3}0.043{col 63}{space 4} .0017014{col 76}{space 3} .1120076
{txt}{space 15}income {c |}{col 23}{res}{space 2}-.3699911{col 35}{space 2} .0489961{col 46}{space 1}   -7.55{col 55}{space 3}0.000{col 63}{space 4}-.4660216{col 76}{space 3}-.2739606
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2}-.5444339{col 35}{space 2} .0655183{col 46}{space 1}   -8.31{col 55}{space 3}0.000{col 63}{space 4}-.6728474{col 76}{space 3}-.4160204
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2} .0845225{col 35}{space 2} .0503068{col 46}{space 1}    1.68{col 55}{space 3}0.093{col 63}{space 4} -.014077{col 76}{space 3}  .183122
{txt}{space 12}education {c |}{col 23}{res}{space 2}-.2904118{col 35}{space 2} .0312957{col 46}{space 1}   -9.28{col 55}{space 3}0.000{col 63}{space 4}-.3517501{col 76}{space 3}-.2290734
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0543871{col 35}{space 2} .0322692{col 46}{space 1}    1.69{col 55}{space 3}0.092{col 63}{space 4}-.0088593{col 76}{space 3} .1176335
{txt}{space 18}sex {c |}{col 23}{res}{space 2}-.1002275{col 35}{space 2} .0685828{col 46}{space 1}   -1.46{col 55}{space 3}0.144{col 63}{space 4}-.2346474{col 76}{space 3} .0341924
{txt}{space 14}marital {c |}{col 23}{res}{space 2}-.4793013{col 35}{space 2} .0544404{col 46}{space 1}   -8.80{col 55}{space 3}0.000{col 63}{space 4}-.5860025{col 76}{space 3}-.3726001
{txt}{space 13}religion {c |}{col 23}{res}{space 2}-.1138078{col 35}{space 2} .0499736{col 46}{space 1}   -2.28{col 55}{space 3}0.023{col 63}{space 4}-.2117543{col 76}{space 3}-.0158613
{txt}{space 16}urban {c |}{col 23}{res}{space 2}-.1427542{col 35}{space 2} .0485197{col 46}{space 1}   -2.94{col 55}{space 3}0.003{col 63}{space 4} -.237851{col 76}{space 3}-.0476573
{txt}political_orientation {c |}{col 23}{res}{space 2} .1739821{col 35}{space 2} .0387424{col 46}{space 1}    4.49{col 55}{space 3}0.000{col 63}{space 4} .0980485{col 76}{space 3} .2499158
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AT  {c |}{col 23}{res}{space 2}-1.702157{col 35}{space 2}  .027009{col 46}{space 1}  -63.02{col 55}{space 3}0.000{col 63}{space 4}-1.755093{col 76}{space 3} -1.64922
{txt}{space 18}AU  {c |}{col 23}{res}{space 2}-1.141783{col 35}{space 2} .0474946{col 46}{space 1}  -24.04{col 55}{space 3}0.000{col 63}{space 4}-1.234871{col 76}{space 3}-1.048695
{txt}{space 18}BE  {c |}{col 23}{res}{space 2}-1.103174{col 35}{space 2} .0428756{col 46}{space 1}  -25.73{col 55}{space 3}0.000{col 63}{space 4}-1.187209{col 76}{space 3}-1.019139
{txt}{space 18}BG  {c |}{col 23}{res}{space 2} .8740353{col 35}{space 2} .0585415{col 46}{space 1}   14.93{col 55}{space 3}0.000{col 63}{space 4} .7592961{col 76}{space 3} .9887745
{txt}{space 18}CH  {c |}{col 23}{res}{space 2}-.9568309{col 35}{space 2} .0944258{col 46}{space 1}  -10.13{col 55}{space 3}0.000{col 63}{space 4}-1.141902{col 76}{space 3}-.7717597
{txt}{space 18}CL  {c |}{col 23}{res}{space 2} .3605401{col 35}{space 2} .1755508{col 46}{space 1}    2.05{col 55}{space 3}0.040{col 63}{space 4} .0164669{col 76}{space 3} .7046132
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2}-.4935942{col 35}{space 2} .0909392{col 46}{space 1}   -5.43{col 55}{space 3}0.000{col 63}{space 4}-.6718317{col 76}{space 3}-.3153567
{txt}{space 18}DE  {c |}{col 23}{res}{space 2} -.984316{col 35}{space 2} .0519584{col 46}{space 1}  -18.94{col 55}{space 3}0.000{col 63}{space 4}-1.086153{col 76}{space 3}-.8824795
{txt}{space 18}DK  {c |}{col 23}{res}{space 2} -.749151{col 35}{space 2} .0501205{col 46}{space 1}  -14.95{col 55}{space 3}0.000{col 63}{space 4}-.8473854{col 76}{space 3}-.6509167
{txt}{space 18}EE  {c |}{col 23}{res}{space 2}-.5922115{col 35}{space 2} .0483428{col 46}{space 1}  -12.25{col 55}{space 3}0.000{col 63}{space 4}-.6869617{col 76}{space 3}-.4974614
{txt}{space 18}ES  {c |}{col 23}{res}{space 2} -.703841{col 35}{space 2} .0332141{col 46}{space 1}  -21.19{col 55}{space 3}0.000{col 63}{space 4}-.7689393{col 76}{space 3}-.6387426
{txt}{space 18}FI  {c |}{col 23}{res}{space 2}-1.039431{col 35}{space 2} .0686274{col 46}{space 1}  -15.15{col 55}{space 3}0.000{col 63}{space 4}-1.173938{col 76}{space 3}-.9049239
{txt}{space 18}FR  {c |}{col 23}{res}{space 2}-.2139676{col 35}{space 2} .0489493{col 46}{space 1}   -4.37{col 55}{space 3}0.000{col 63}{space 4}-.3099066{col 76}{space 3}-.1180287
{txt}{space 18}GB  {c |}{col 23}{res}{space 2}-.4384975{col 35}{space 2} .0407026{col 46}{space 1}  -10.77{col 55}{space 3}0.000{col 63}{space 4}-.5182731{col 76}{space 3}-.3587219
{txt}{space 18}HR  {c |}{col 23}{res}{space 2} .0341719{col 35}{space 2} .0547339{col 46}{space 1}    0.62{col 55}{space 3}0.532{col 63}{space 4}-.0731045{col 76}{space 3} .1414484
{txt}{space 18}IL  {c |}{col 23}{res}{space 2}-1.061234{col 35}{space 2} .1940707{col 46}{space 1}   -5.47{col 55}{space 3}0.000{col 63}{space 4}-1.441605{col 76}{space 3}-.6808622
{txt}{space 18}IS  {c |}{col 23}{res}{space 2} -1.24077{col 35}{space 2}  .173586{col 46}{space 1}   -7.15{col 55}{space 3}0.000{col 63}{space 4}-1.580993{col 76}{space 3}-.9005479
{txt}{space 18}IT  {c |}{col 23}{res}{space 2} .1327725{col 35}{space 2} .0510732{col 46}{space 1}    2.60{col 55}{space 3}0.009{col 63}{space 4} .0326709{col 76}{space 3} .2328742
{txt}{space 18}JP  {c |}{col 23}{res}{space 2} .5407639{col 35}{space 2} .0735958{col 46}{space 1}    7.35{col 55}{space 3}0.000{col 63}{space 4} .3965188{col 76}{space 3} .6850091
{txt}{space 18}KR  {c |}{col 23}{res}{space 2} .5704746{col 35}{space 2} .0581786{col 46}{space 1}    9.81{col 55}{space 3}0.000{col 63}{space 4} .4564466{col 76}{space 3} .6845026
{txt}{space 18}LT  {c |}{col 23}{res}{space 2} .4411949{col 35}{space 2} .0982502{col 46}{space 1}    4.49{col 55}{space 3}0.000{col 63}{space 4} .2486281{col 76}{space 3} .6337617
{txt}{space 18}LV  {c |}{col 23}{res}{space 2} .7683027{col 35}{space 2}  .033782{col 46}{space 1}   22.74{col 55}{space 3}0.000{col 63}{space 4} .7020912{col 76}{space 3} .8345143
{txt}{space 18}NO  {c |}{col 23}{res}{space 2}-1.158711{col 35}{space 2} .0432182{col 46}{space 1}  -26.81{col 55}{space 3}0.000{col 63}{space 4}-1.243417{col 76}{space 3}-1.074005
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2}-1.253222{col 35}{space 2} .0747606{col 46}{space 1}  -16.76{col 55}{space 3}0.000{col 63}{space 4} -1.39975{col 76}{space 3}-1.106694
{txt}{space 18}PH  {c |}{col 23}{res}{space 2}  .289897{col 35}{space 2} .0276218{col 46}{space 1}   10.50{col 55}{space 3}0.000{col 63}{space 4} .2357592{col 76}{space 3} .3440348
{txt}{space 18}PL  {c |}{col 23}{res}{space 2}-.5242212{col 35}{space 2} .0465437{col 46}{space 1}  -11.26{col 55}{space 3}0.000{col 63}{space 4}-.6154451{col 76}{space 3}-.4329972
{txt}{space 18}SE  {c |}{col 23}{res}{space 2} -1.48742{col 35}{space 2} .0333997{col 46}{space 1}  -44.53{col 55}{space 3}0.000{col 63}{space 4}-1.552882{col 76}{space 3}-1.421957
{txt}{space 18}SI  {c |}{col 23}{res}{space 2}-.3727792{col 35}{space 2} .0748418{col 46}{space 1}   -4.98{col 55}{space 3}0.000{col 63}{space 4}-.5194665{col 76}{space 3}-.2260919
{txt}{space 18}SK  {c |}{col 23}{res}{space 2}-.4706987{col 35}{space 2}  .045054{col 46}{space 1}  -10.45{col 55}{space 3}0.000{col 63}{space 4}-.5590029{col 76}{space 3}-.3823945
{txt}{space 18}US  {c |}{col 23}{res}{space 2}  -.65963{col 35}{space 2} .0858079{col 46}{space 1}   -7.69{col 55}{space 3}0.000{col 63}{space 4}-.8278103{col 76}{space 3}-.4914497
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2} .2249557{col 35}{space 2} .0366783{col 46}{space 1}    6.13{col 55}{space 3}0.000{col 63}{space 4} .1530675{col 76}{space 3} .2968439
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2019  {c |}{col 23}{res}{space 2}-.2780771{col 35}{space 2} .1942347{col 46}{space 1}   -1.43{col 55}{space 3}0.152{col 63}{space 4}-.6587701{col 76}{space 3} .1026159
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .3946155{col 35}{space 2} .2535648{col 46}{space 1}    1.56{col 55}{space 3}0.120{col 63}{space 4}-.1023623{col 76}{space 3} .8915934
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. margins, at(perceived_inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    29,218
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(low_class), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0688774{col 26}{space 2} .0056371{col 37}{space 1}   12.22{col 46}{space 3}0.000{col 54}{space 4} .0578289{col 67}{space 3} .0799259
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0726142{col 26}{space 2} .0041143{col 37}{space 1}   17.65{col 46}{space 3}0.000{col 54}{space 4} .0645503{col 67}{space 3} .0806782
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0765372{col 26}{space 2} .0025713{col 37}{space 1}   29.77{col 46}{space 3}0.000{col 54}{space 4} .0714975{col 67}{space 3} .0815768
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0806536{col 26}{space 2} .0016544{col 37}{space 1}   48.75{col 46}{space 3}0.000{col 54}{space 4} .0774109{col 67}{space 3} .0838962
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .084971{col 26}{space 2} .0027554{col 37}{space 1}   30.84{col 46}{space 3}0.000{col 54}{space 4} .0795705{col 67}{space 3} .0903716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, horizontal recast(scatter)

{text}{p 2 6 2}Variables that uniquely identify margins: perceived_inequality{p_end}
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제12_부정선거\research and politics\data\analysis_1.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 2 Jul 2024, 22:43:44
{txt}{.-}
{smcl}
{txt}{sf}{ul off}